MacBook Air (2022)
Geekbench AI Score
3133
Single Precision Score
26914
Half Precision Score
29218
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
13845
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15981
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19447
315.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24203
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
91313
106.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93872
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
99% |
15481
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
16513
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34681
412.1 IPS |
|
|
Face Detection (Q)
|
100% |
41305
490.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3869
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
76143
586.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95344
745.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16603
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203381
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
158666
204.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40539
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47009
1.74 KIPS |
|
|
Text Classification (SP)
|
99% |
4093
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
6200
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6337
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4064
70.2 IPS |
